NPS Training 2020

Dataset statistics

Number of variables	29
Number of observations	1581
Missing cells	1611
Missing cells (%)	3.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	358.3 KiB
Average record size in memory	232.1 B

Variable types

Categorical	13
Numeric	16

Warnings

`UBPP Laborat` has constant value "0"	Constant
`Nama Pelatihan` has a high cardinality: 1370 distinct values	High cardinality
`Location` has a high cardinality: 102 distinct values	High cardinality
`Tgl Mulai` has a high cardinality: 271 distinct values	High cardinality
`Tgl Selesai` has a high cardinality: 310 distinct values	High cardinality
`JML Peserta` is highly correlated with `JML Confirmed` and 1 other fields	High correlation
`JML Confirmed` is highly correlated with `JML Peserta` and 1 other fields	High correlation
`JML Peserta Hadir` is highly correlated with `JML Peserta` and 1 other fields	High correlation
`UBPP Akom` is highly correlated with `UBPP Kafetaria`	High correlation
`UBPP Sarana` is highly correlated with `UBPP Penyelenggaraan` and 4 other fields	High correlation
`UBPP Penyelenggaraan` is highly correlated with `UBPP Sarana` and 4 other fields	High correlation
`UBPP Kafetaria` is highly correlated with `UBPP Akom`	High correlation
`UBPP Materi` is highly correlated with `UBPP Sarana` and 4 other fields	High correlation
`Customer Satisfaction` is highly correlated with `UBPP Sarana` and 4 other fields	High correlation
`First Response & Average Handling` is highly correlated with `UBPP Sarana` and 4 other fields	High correlation
`Customer Effort Score` is highly correlated with `UBPP Sarana` and 4 other fields	High correlation
`Provider` is highly correlated with `Provider Category` and 1 other fields	High correlation
`Provider Category` is highly correlated with `Provider` and 1 other fields	High correlation
`UBPP Laborat` is highly correlated with `Provider` and 7 other fields	High correlation
`Category` is highly correlated with `UBPP Laborat`	High correlation
`Lokasi Pelatihan` is highly correlated with `UBPP Laborat`	High correlation
`Tipe` is highly correlated with `UBPP Laborat`	High correlation
`Academy Event` is highly correlated with `UBPP Laborat`	High correlation
`Event Type` is highly correlated with `UBPP Laborat`	High correlation
`Status` is highly correlated with `UBPP Laborat`	High correlation
`Tipe` has 686 (43.4%) missing values	Missing
`Lokasi Pelatihan` has 134 (8.5%) missing values	Missing
`Provider` has 101 (6.4%) missing values	Missing
`Academy Event` has 122 (7.7%) missing values	Missing
`Location` has 67 (4.2%) missing values	Missing
`Provider Category` has 342 (21.6%) missing values	Missing
`Event Type` has 55 (3.5%) missing values	Missing
`Status` has 62 (3.9%) missing values	Missing
`UBPP Inst` has 42 (2.7%) missing values	Missing
`Nama Pelatihan` is uniformly distributed	Uniform
`Objid Pelatihan` has unique values	Unique
`JML Peserta` has 278 (17.6%) zeros	Zeros
`JML Confirmed` has 613 (38.8%) zeros	Zeros
`JML Peserta Hadir` has 520 (32.9%) zeros	Zeros
`JML UBPP Inst` has 748 (47.3%) zeros	Zeros
`JML UBPP Delivery` has 645 (40.8%) zeros	Zeros
`UBPP Inst` has 761 (48.1%) zeros	Zeros
`UBPP Akom` has 1030 (65.1%) zeros	Zeros
`UBPP Sarana` has 646 (40.9%) zeros	Zeros
`UBPP Penyelenggaraan` has 645 (40.8%) zeros	Zeros
`UBPP Kafetaria` has 1030 (65.1%) zeros	Zeros
`UBPP Materi` has 646 (40.9%) zeros	Zeros
`Net Promotor Score` has 693 (43.8%) zeros	Zeros
`Customer Satisfaction` has 646 (40.9%) zeros	Zeros
`First Response & Average Handling` has 646 (40.9%) zeros	Zeros
`Customer Effort Score` has 646 (40.9%) zeros	Zeros

Reproduction

Analysis started	2021-02-03 06:00:38.150633
Analysis finished	2021-02-03 06:01:59.662990
Duration	1 minute and 21.51 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

Nama Pelatihan
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1370
Distinct (%)	86.7%
Missing	0
Missing (%)	0.0%
Memory size	12.5 KiB

Assessment JT Dir BUMN	10
Machine Learning with Python	10
Assesment JT BP 1	8
Marketing 4.0	7
Wholesale International Business Advisor	6
Other values (1365)	1540

Length

Max length	95
Median length	29
Mean length	28.7368754
Min length	3

Characters and Unicode

Total characters	45433
Distinct characters	77
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1248 ?
Unique (%)	78.9%

Sample

1st row	Social Media Ads & Analytic
2nd row	CISM
3rd row	Programmer Development Course Amoeba
4th row	Business Analytics Amoeba
5th row	Online UX Design Course Amoeba

Value	Count	Frequency (%)
Assessment JT Dir BUMN	10	0.6%
Machine Learning with Python	10	0.6%
Assesment JT BP 1	8	0.5%
Marketing 4.0	7	0.4%
Wholesale International Business Advisor	6	0.4%
TRShoot GGN HSI:ONT,OLT,Metro,BRAS,PE SP	5	0.3%
Assesment JT BP 2	5	0.3%
FINON	5	0.3%
Bangmat GPMP	5	0.3%
Junior executive infrastructure program	4	0.3%
Other values (1360)	1516	95.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
	200	2.8%
batch	186	2.6%
bangmat	115	1.6%
for	114	1.6%
2	99	1.4%
am	86	1.2%
1	76	1.1%
2020	66	0.9%
management	65	0.9%
business	65	0.9%
Other values (1508)	6019	84.9%

Most occurring characters

Value	Count	Frequency (%)
	5532	12.2%
a	3293	7.2%
e	3291	7.2%
n	2776	6.1%
i	2691	5.9%
t	2256	5.0%
r	1988	4.4%
o	1932	4.3%
s	1668	3.7%
l	1111	2.4%
Other values (67)	18895	41.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28574	62.9%
Uppercase Letter	9406	20.7%
Space Separator	5532	12.2%
Decimal Number	1187	2.6%
Other Punctuation	376	0.8%
Dash Punctuation	173	0.4%
Open Punctuation	93	0.2%
Close Punctuation	89	0.2%
Control	1	< 0.1%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
P	930	9.9%
A	872	9.3%
C	763	8.1%
S	743	7.9%
M	742	7.9%
B	711	7.6%
T	703	7.5%
I	513	5.5%
D	437	4.6%
O	386	4.1%
Other values (16)	2606	27.7%

Value	Count	Frequency (%)
a	3293	11.5%
e	3291	11.5%
n	2776	9.7%
i	2691	9.4%
t	2256	7.9%
r	1988	7.0%
o	1932	6.8%
s	1668	5.8%
l	1111	3.9%
c	1108	3.9%
Other values (16)	6460	22.6%

Value	Count	Frequency (%)
2	339	28.6%
0	210	17.7%
1	182	15.3%
3	118	9.9%
4	99	8.3%
5	93	7.8%
6	65	5.5%
7	48	4.0%
9	19	1.6%
8	14	1.2%

Value	Count	Frequency (%)
&	169	44.9%
:	58	15.4%
#	53	14.1%
,	45	12.0%
.	31	8.2%
/	16	4.3%
'	3	0.8%
"	1	0.3%

Value	Count	Frequency (%)
	5532	100.0%

Value	Count	Frequency (%)
	1	100.0%

Value	Count	Frequency (%)
(	93	100.0%

Value	Count	Frequency (%)
-	173	100.0%

Value	Count	Frequency (%)
)	89	100.0%

Value	Count	Frequency (%)
`	1	100.0%

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	37980	83.6%
Common	7453	16.4%

Most frequent character per script

Value	Count	Frequency (%)
a	3293	8.7%
e	3291	8.7%
n	2776	7.3%
i	2691	7.1%
t	2256	5.9%
r	1988	5.2%
o	1932	5.1%
s	1668	4.4%
l	1111	2.9%
c	1108	2.9%
Other values (42)	15866	41.8%

Value	Count	Frequency (%)
	5532	74.2%
2	339	4.5%
0	210	2.8%
1	182	2.4%
-	173	2.3%
&	169	2.3%
3	118	1.6%
4	99	1.3%
(	93	1.2%
5	93	1.2%
Other values (15)	445	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	45433	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	5532	12.2%
a	3293	7.2%
e	3291	7.2%
n	2776	6.1%
i	2691	5.9%
t	2256	5.0%
r	1988	4.4%
o	1932	4.3%
s	1668	3.7%
l	1111	2.4%
Other values (67)	18895	41.6%

Objid Pelatihan
Real number (ℝ_≥0)

UNIQUE

Distinct	1581
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	82796908.33
Minimum	80110780
Maximum	90004562
Zeros	0
Zeros (%)	0.0%
Memory size	12.5 KiB

Quantile statistics

Minimum	80110780
5-th percentile	80111833
Q1	80112665
median	80113458
Q3	90003748
95-th percentile	90004398
Maximum	90004562
Range	9893782
Interquartile range (IQR)	9891083

Descriptive statistics

Standard deviation	4399535.407
Coefficient of variation (CV)	0.05313646965
Kurtosis	-0.9414716628
Mean	82796908.33
Median Absolute Deviation (MAD)	864
Skewness	1.02942742
Sum	1.309019121 × 10¹¹
Variance	1.93559118 × 10¹³
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80113293	1	0.1%
80113017	1	0.1%
80113031	1	0.1%
80113033	1	0.1%
80113037	1	0.1%
80113039	1	0.1%
90004518	1	0.1%
90004482	1	0.1%
80113045	1	0.1%
80113049	1	0.1%
Other values (1571)	1571	99.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
80110780	1	0.1%
80111209	1	0.1%
80111214	1	0.1%
80111216	1	0.1%
80111217	1	0.1%

Value	Count	Frequency (%)
90004562	1	0.1%
90004558	1	0.1%
90004556	1	0.1%
90004554	1	0.1%
90004552	1	0.1%

Category
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 KiB

LAT	1152
NON LAT	429

Length

Max length	7
Median length	3
Mean length	4.085388994
Min length	3

Characters and Unicode

Total characters	6459
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LAT
2nd row	LAT
3rd row	LAT
4th row	LAT
5th row	LAT

Value	Count	Frequency (%)
LAT	1152	72.9%
NON LAT	429	27.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
lat	1581	78.7%
non	429	21.3%

Most occurring characters

Value	Count	Frequency (%)
L	1581	24.5%
A	1581	24.5%
T	1581	24.5%
N	858	13.3%
O	429	6.6%
	429	6.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	6030	93.4%
Space Separator	429	6.6%

Most frequent character per category

Value	Count	Frequency (%)
L	1581	26.2%
A	1581	26.2%
T	1581	26.2%
N	858	14.2%
O	429	7.1%

Value	Count	Frequency (%)
	429	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6030	93.4%
Common	429	6.6%

Most frequent character per script

Value	Count	Frequency (%)
L	1581	26.2%
A	1581	26.2%
T	1581	26.2%
N	858	14.2%
O	429	7.1%

Value	Count	Frequency (%)
	429	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6459	100.0%

Most frequent character per block

Value	Count	Frequency (%)
L	1581	24.5%
A	1581	24.5%
T	1581	24.5%
N	858	13.3%
O	429	6.6%
	429	6.6%

Tipe
Categorical

HIGH CORRELATION
MISSING

Distinct	21
Distinct (%)	2.3%
Missing	686
Missing (%)	43.4%
Memory size	12.5 KiB

Pengembangan Materi	299
Test Online	148
Seminar	131
Project	118
Virtual Classroom	66
Other values (16)	133

Length

Max length	29
Median length	11
Mean length	13.67932961
Min length	3

Characters and Unicode

Total characters	12243
Distinct characters	40
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.3%

Sample

1st row	Virtual Classroom
2nd row	E-learning
3rd row	Video Learning
4th row	E-learning
5th row	Virtual Classroom

Value	Count	Frequency (%)
Pengembangan Materi	299	18.9%
Test Online	148	9.4%
Seminar	131	8.3%
Project	118	7.5%
Virtual Classroom	66	4.2%
E-learning	24	1.5%
Sharing Session	18	1.1%
Sharing Session / Bedah Buku	17	1.1%
Online Forum	14	0.9%
Mentoring	10	0.6%
Other values (11)	50	3.2%
(Missing)	686	43.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
pengembangan	299	19.1%
materi	299	19.1%
online	162	10.3%
test	148	9.4%
seminar	131	8.4%
project	118	7.5%
virtual	66	4.2%
classroom	66	4.2%
session	35	2.2%
sharing	35	2.2%
Other values (27)	208	13.3%

Most occurring characters

Value	Count	Frequency (%)
e	1610	13.2%
n	1579	12.9%
a	1295	10.6%
i	841	6.9%
r	793	6.5%
g	703	5.7%
	672	5.5%
t	668	5.5%
m	531	4.3%
P	425	3.5%
Other values (30)	3126	25.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9932	81.1%
Uppercase Letter	1570	12.8%
Space Separator	672	5.5%
Dash Punctuation	30	0.2%
Other Punctuation	23	0.2%
Open Punctuation	8	0.1%
Close Punctuation	8	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	1610	16.2%
n	1579	15.9%
a	1295	13.0%
i	841	8.5%
r	793	8.0%
g	703	7.1%
t	668	6.7%
m	531	5.3%
s	398	4.0%
o	364	3.7%
Other values (10)	1150	11.6%

Value	Count	Frequency (%)
P	425	27.1%
M	322	20.5%
S	202	12.9%
O	169	10.8%
T	164	10.4%
C	82	5.2%
V	74	4.7%
B	44	2.8%
E	30	1.9%
L	18	1.1%
Other values (5)	40	2.5%

Value	Count	Frequency (%)
	672	100.0%

Value	Count	Frequency (%)
-	30	100.0%

Value	Count	Frequency (%)
/	23	100.0%

Value	Count	Frequency (%)
(	8	100.0%

Value	Count	Frequency (%)
)	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11502	93.9%
Common	741	6.1%

Most frequent character per script

Value	Count	Frequency (%)
e	1610	14.0%
n	1579	13.7%
a	1295	11.3%
i	841	7.3%
r	793	6.9%
g	703	6.1%
t	668	5.8%
m	531	4.6%
P	425	3.7%
s	398	3.5%
Other values (25)	2659	23.1%

Value	Count	Frequency (%)
	672	90.7%
-	30	4.0%
/	23	3.1%
(	8	1.1%
)	8	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12243	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	1610	13.2%
n	1579	12.9%
a	1295	10.6%
i	841	6.9%
r	793	6.5%
g	703	5.7%
	672	5.5%
t	668	5.5%
m	531	4.3%
P	425	3.5%
Other values (30)	3126	25.5%

Lokasi Pelatihan
Categorical

HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	1.2%
Missing	134
Missing (%)	8.5%
Memory size	12.5 KiB

Bandung	930
Jakarta	231
Makassar	125
Surabaya	46
Semarang	42
Other values (13)	73

Length

Max length	16
Median length	7
Mean length	7.121630961
Min length	4

Characters and Unicode

Total characters	10305
Distinct characters	32
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.4%

Sample

1st row	Bandung
2nd row	Bandung
3rd row	Bandung
4th row	Bandung
5th row	Bandung

Value	Count	Frequency (%)
Bandung	930	58.8%
Jakarta	231	14.6%
Makassar	125	7.9%
Surabaya	46	2.9%
Semarang	42	2.7%
Medan	42	2.7%
BANDUNG	12	0.8%
Yogyakarta	4	0.3%
Jakarta Selatan	3	0.2%
Balikpapan	2	0.1%
Other values (8)	10	0.6%
(Missing)	134	8.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
bandung	942	64.9%
jakarta	236	16.3%
makassar	125	8.6%
surabaya	46	3.2%
medan	42	2.9%
semarang	42	2.9%
yogyakarta	4	0.3%
selatan	3	0.2%
balikpapan	2	0.1%
bogor	2	0.1%
Other values (7)	7	0.5%

Most occurring characters

Value	Count	Frequency (%)
a	2308	22.4%
n	1954	19.0%
g	981	9.5%
u	979	9.5%
d	973	9.4%
B	948	9.2%
r	455	4.4%
k	366	3.6%
s	250	2.4%
t	243	2.4%
Other values (22)	848	8.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8766	85.1%
Uppercase Letter	1535	14.9%
Space Separator	4	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	2308	26.3%
n	1954	22.3%
g	981	11.2%
u	979	11.2%
d	973	11.1%
r	455	5.2%
k	366	4.2%
s	250	2.9%
t	243	2.8%
e	90	1.0%
Other values (7)	167	1.9%

Value	Count	Frequency (%)
B	948	61.8%
J	236	15.4%
M	169	11.0%
S	91	5.9%
N	24	1.6%
A	18	1.2%
D	12	0.8%
U	12	0.8%
G	12	0.8%
Y	4	0.3%
Other values (4)	9	0.6%

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10301	> 99.9%
Common	4	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
a	2308	22.4%
n	1954	19.0%
g	981	9.5%
u	979	9.5%
d	973	9.4%
B	948	9.2%
r	455	4.4%
k	366	3.6%
s	250	2.4%
t	243	2.4%
Other values (21)	844	8.2%

Value	Count	Frequency (%)
	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10305	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	2308	22.4%
n	1954	19.0%
g	981	9.5%
u	979	9.5%
d	973	9.4%
B	948	9.2%
r	455	4.4%
k	366	3.6%
s	250	2.4%
t	243	2.4%
Other values (22)	848	8.2%

Provider
Categorical

HIGH CORRELATION
MISSING

Distinct	17
Distinct (%)	1.1%
Missing	101
Missing (%)	6.4%
Memory size	12.5 KiB

Learning Area 3 / LO	388
Learning Area 3 / LO Bandung	311
Learning Area 7 Makassar	222
Learning Area 2 Jakarta	212
Learning Area 3 Bandung	88
Other values (12)	259

Length

Max length	28
Median length	23
Mean length	23.17905405
Min length	9

Characters and Unicode

Total characters	34305
Distinct characters	43
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.2%

Sample

1st row	Learning Area 2 Jakarta
2nd row	Learning Area 3 / LO
3rd row	Learning Area 7 Makassar
4th row	Learning Area 7 Makassar
5th row	Learning Area 7 Makassar

Value	Count	Frequency (%)
Learning Area 3 / LO	388	24.5%
Learning Area 3 / LO Bandung	311	19.7%
Learning Area 7 Makassar	222	14.0%
Learning Area 2 Jakarta	212	13.4%
Learning Area 3 Bandung	88	5.6%
Learning Area 5 Surabaya	82	5.2%
Learning Area 4 Semarang	65	4.1%
Learning Area 1 Medan	62	3.9%
Dalam Negeri	27	1.7%
Learning Operation Bandung	6	0.4%
Other values (7)	17	1.1%
(Missing)	101	6.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
learning	1448	21.1%
area	1442	21.0%
3	789	11.5%
	699	10.2%
lo	699	10.2%
bandung	405	5.9%
7	225	3.3%
makassar	222	3.2%
2	213	3.1%
jakarta	212	3.1%
Other values (17)	501	7.3%

Most occurring characters

Value	Count	Frequency (%)
	5375	15.7%
a	5110	14.9%
n	3847	11.2%
r	3515	10.2%
e	3083	9.0%
L	2147	6.3%
g	1945	5.7%
i	1488	4.3%
A	1444	4.2%
3	789	2.3%
Other values (33)	5562	16.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21373	62.3%
Uppercase Letter	5413	15.8%
Space Separator	5375	15.7%
Decimal Number	1445	4.2%
Other Punctuation	699	2.0%

Most frequent character per category

Value	Count	Frequency (%)
a	5110	23.9%
n	3847	18.0%
r	3515	16.4%
e	3083	14.4%
g	1945	9.1%
i	1488	7.0%
u	488	2.3%
d	470	2.2%
s	444	2.1%
k	438	2.0%
Other values (10)	545	2.5%

Value	Count	Frequency (%)
L	2147	39.7%
A	1444	26.7%
O	705	13.0%
B	409	7.6%
M	285	5.3%
J	212	3.9%
S	147	2.7%
D	27	0.5%
N	27	0.5%
P	3	0.1%
Other values (4)	7	0.1%

Value	Count	Frequency (%)
3	789	54.6%
7	225	15.6%
2	213	14.7%
5	82	5.7%
1	67	4.6%
4	65	4.5%
6	4	0.3%

Value	Count	Frequency (%)
	5375	100.0%

Value	Count	Frequency (%)
/	699	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26786	78.1%
Common	7519	21.9%

Most frequent character per script

Value	Count	Frequency (%)
a	5110	19.1%
n	3847	14.4%
r	3515	13.1%
e	3083	11.5%
L	2147	8.0%
g	1945	7.3%
i	1488	5.6%
A	1444	5.4%
O	705	2.6%
u	488	1.8%
Other values (24)	3014	11.3%

Value	Count	Frequency (%)
	5375	71.5%
3	789	10.5%
/	699	9.3%
7	225	3.0%
2	213	2.8%
5	82	1.1%
1	67	0.9%
4	65	0.9%
6	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34305	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	5375	15.7%
a	5110	14.9%
n	3847	11.2%
r	3515	10.2%
e	3083	9.0%
L	2147	6.3%
g	1945	5.7%
i	1488	4.3%
A	1444	4.2%
3	789	2.3%
Other values (33)	5562	16.2%

Academy Event
Categorical

HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	0.8%
Missing	122
Missing (%)	7.7%
Memory size	12.5 KiB

DSP	323
BUSINNESS ENABLER	301
CONSUMER	274
NITS	173
ENTERPRISE	156
Other values (6)	232

Length

Max length	18
Median length	8
Mean length	9.549006169
Min length	3

Characters and Unicode

Total characters	13932
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	CONSUMER
2nd row	NITS
3rd row	DSP
4th row	DSP
5th row	DSP

Value	Count	Frequency (%)
DSP	323	20.4%
BUSINNESS ENABLER	301	19.0%
CONSUMER	274	17.3%
NITS	173	10.9%
ENTERPRISE	156	9.9%
WS & INTERNATIONAL	143	9.0%
LEADERSHIP	75	4.7%
KMCS	7	0.4%
GOFM	4	0.3%
PNC,LO, dan GS	2	0.1%
(Missing)	122	7.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
dsp	323	15.8%
businness	301	14.7%
enabler	301	14.7%
consumer	274	13.4%
nits	173	8.4%
enterprise	156	7.6%
international	143	7.0%
ws	143	7.0%
	143	7.0%
leadership	75	3.7%
Other values (6)	18	0.9%

Most occurring characters

Value	Count	Frequency (%)
S	2056	14.8%
E	1939	13.9%
N	1937	13.9%
R	1105	7.9%
I	992	7.1%
A	662	4.8%
T	615	4.4%
B	603	4.3%
	591	4.2%
U	575	4.1%
Other values (16)	2857	20.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13188	94.7%
Space Separator	591	4.2%
Other Punctuation	147	1.1%
Lowercase Letter	6	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	2056	15.6%
E	1939	14.7%
N	1937	14.7%
R	1105	8.4%
I	992	7.5%
A	662	5.0%
T	615	4.7%
B	603	4.6%
U	575	4.4%
P	556	4.2%
Other values (10)	2148	16.3%

Value	Count	Frequency (%)
d	2	33.3%
a	2	33.3%
n	2	33.3%

Value	Count	Frequency (%)
&	143	97.3%
,	4	2.7%

Value	Count	Frequency (%)
	591	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13194	94.7%
Common	738	5.3%

Most frequent character per script

Value	Count	Frequency (%)
S	2056	15.6%
E	1939	14.7%
N	1937	14.7%
R	1105	8.4%
I	992	7.5%
A	662	5.0%
T	615	4.7%
B	603	4.6%
U	575	4.4%
P	556	4.2%
Other values (13)	2154	16.3%

Value	Count	Frequency (%)
	591	80.1%
&	143	19.4%
,	4	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13932	100.0%

Most frequent character per block

Value	Count	Frequency (%)
S	2056	14.8%
E	1939	13.9%
N	1937	13.9%
R	1105	7.9%
I	992	7.1%
A	662	4.8%
T	615	4.4%
B	603	4.3%
	591	4.2%
U	575	4.1%
Other values (16)	2857	20.5%

Location
Categorical

HIGH CARDINALITY
MISSING

Distinct	102
Distinct (%)	6.7%
Missing	67
Missing (%)	4.2%
Memory size	12.5 KiB

Online (Lokasi Masing-Masing)	1044
Learning Area 3 Bandung	58
LA 3	52
LA 2	49
Learning Area 2 Jakarta	35
Other values (97)	276

Length

Max length	45
Median length	29
Mean length	25.45970938
Min length	3

Characters and Unicode

Total characters	38546
Distinct characters	63
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	3.5%

Sample

1st row	Online (Lokasi Masing-Masing)
2nd row	Online (Lokasi Masing-Masing)
3rd row	Online (Lokasi Masing-Masing)
4th row	Online (Lokasi Masing-Masing)
5th row	Online (Lokasi Masing-Masing)

Value	Count	Frequency (%)
Online (Lokasi Masing-Masing)	1044	66.0%
Learning Area 3 Bandung	58	3.7%
LA 3	52	3.3%
LA 2	49	3.1%
Learning Area 2 Jakarta	35	2.2%
LA-3	23	1.5%
TELKOM HRAS BANDUNG	17	1.1%
Telkom Corporate University	16	1.0%
Learning Area 4 Semarang	15	0.9%
TLT (Telkom Landmark Tower)	13	0.8%
Other values (92)	192	12.1%
(Missing)	67	4.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
online	1046	22.8%
lokasi	1044	22.8%
masing-masing	1044	22.8%
area	132	2.9%
learning	131	2.9%
3	110	2.4%
la	105	2.3%
bandung	96	2.1%
2	87	1.9%
jakarta	86	1.9%
Other values (164)	704	15.4%

Most occurring characters

Value	Count	Frequency (%)
n	4799	12.5%
i	4476	11.6%
a	4137	10.7%
s	3246	8.4%
	3078	8.0%
g	2382	6.2%
M	2143	5.6%
e	1658	4.3%
L	1370	3.6%
o	1264	3.3%
Other values (53)	9993	25.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26072	67.6%
Uppercase Letter	5911	15.3%
Space Separator	3078	8.0%
Dash Punctuation	1073	2.8%
Open Punctuation	1067	2.8%
Close Punctuation	1062	2.8%
Decimal Number	269	0.7%
Other Punctuation	14	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
M	2143	36.3%
L	1370	23.2%
O	1070	18.1%
A	357	6.0%
T	134	2.3%
B	122	2.1%
J	92	1.6%
S	87	1.5%
C	65	1.1%
H	64	1.1%
Other values (14)	407	6.9%

Value	Count	Frequency (%)
n	4799	18.4%
i	4476	17.2%
a	4137	15.9%
s	3246	12.5%
g	2382	9.1%
e	1658	6.4%
o	1264	4.8%
k	1228	4.7%
l	1186	4.5%
r	600	2.3%
Other values (14)	1096	4.2%

Value	Count	Frequency (%)
3	133	49.4%
2	88	32.7%
4	18	6.7%
5	10	3.7%
7	7	2.6%
1	6	2.2%
6	5	1.9%
8	2	0.7%

Value	Count	Frequency (%)
,	10	71.4%
.	2	14.3%
&	2	14.3%

Value	Count	Frequency (%)
	3078	100.0%

Value	Count	Frequency (%)
(	1067	100.0%

Value	Count	Frequency (%)
-	1073	100.0%

Value	Count	Frequency (%)
)	1062	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31983	83.0%
Common	6563	17.0%

Most frequent character per script

Value	Count	Frequency (%)
n	4799	15.0%
i	4476	14.0%
a	4137	12.9%
s	3246	10.1%
g	2382	7.4%
M	2143	6.7%
e	1658	5.2%
L	1370	4.3%
o	1264	4.0%
k	1228	3.8%
Other values (38)	5280	16.5%

Value	Count	Frequency (%)
	3078	46.9%
-	1073	16.3%
(	1067	16.3%
)	1062	16.2%
3	133	2.0%
2	88	1.3%
4	18	0.3%
,	10	0.2%
5	10	0.2%
7	7	0.1%
Other values (5)	17	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38546	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	4799	12.5%
i	4476	11.6%
a	4137	10.7%
s	3246	8.4%
	3078	8.0%
g	2382	6.2%
M	2143	5.6%
e	1658	4.3%
L	1370	3.6%
o	1264	3.3%
Other values (53)	9993	25.9%

Provider Category
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	342
Missing (%)	21.6%
Memory size	12.5 KiB

Internal	1083
External	156

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	9912
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Internal
2nd row	Internal
3rd row	Internal
4th row	Internal
5th row	Internal

Value	Count	Frequency (%)
Internal	1083	68.5%
External	156	9.9%
(Missing)	342	21.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
internal	1083	87.4%
external	156	12.6%

Most occurring characters

Value	Count	Frequency (%)
n	2322	23.4%
t	1239	12.5%
e	1239	12.5%
r	1239	12.5%
a	1239	12.5%
l	1239	12.5%
I	1083	10.9%
E	156	1.6%
x	156	1.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8673	87.5%
Uppercase Letter	1239	12.5%

Most frequent character per category

Value	Count	Frequency (%)
n	2322	26.8%
t	1239	14.3%
e	1239	14.3%
r	1239	14.3%
a	1239	14.3%
l	1239	14.3%
x	156	1.8%

Value	Count	Frequency (%)
I	1083	87.4%
E	156	12.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9912	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	2322	23.4%
t	1239	12.5%
e	1239	12.5%
r	1239	12.5%
a	1239	12.5%
l	1239	12.5%
I	1083	10.9%
E	156	1.6%
x	156	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9912	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	2322	23.4%
t	1239	12.5%
e	1239	12.5%
r	1239	12.5%
a	1239	12.5%
l	1239	12.5%
I	1083	10.9%
E	156	1.6%
x	156	1.6%

Event Type
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	55
Missing (%)	3.5%
Memory size	12.5 KiB

Internal	1154
Public	372

Length

Max length	8
Median length	8
Mean length	7.512450852
Min length	6

Characters and Unicode

Total characters	11464
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Internal
2nd row	Public
3rd row	Internal
4th row	Internal
5th row	Internal

Value	Count	Frequency (%)
Internal	1154	73.0%
Public	372	23.5%
(Missing)	55	3.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
internal	1154	75.6%
public	372	24.4%

Most occurring characters

Value	Count	Frequency (%)
n	2308	20.1%
l	1526	13.3%
I	1154	10.1%
t	1154	10.1%
e	1154	10.1%
r	1154	10.1%
a	1154	10.1%
P	372	3.2%
u	372	3.2%
b	372	3.2%
Other values (2)	744	6.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9938	86.7%
Uppercase Letter	1526	13.3%

Most frequent character per category

Value	Count	Frequency (%)
n	2308	23.2%
l	1526	15.4%
t	1154	11.6%
e	1154	11.6%
r	1154	11.6%
a	1154	11.6%
u	372	3.7%
b	372	3.7%
i	372	3.7%
c	372	3.7%

Value	Count	Frequency (%)
I	1154	75.6%
P	372	24.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11464	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	2308	20.1%
l	1526	13.3%
I	1154	10.1%
t	1154	10.1%
e	1154	10.1%
r	1154	10.1%
a	1154	10.1%
P	372	3.2%
u	372	3.2%
b	372	3.2%
Other values (2)	744	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11464	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	2308	20.1%
l	1526	13.3%
I	1154	10.1%
t	1154	10.1%
e	1154	10.1%
r	1154	10.1%
a	1154	10.1%
P	372	3.2%
u	372	3.2%
b	372	3.2%
Other values (2)	744	6.5%

Status
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.4%
Missing	62
Missing (%)	3.9%
Memory size	12.5 KiB

Close Budget	788
WO	290
Close WO	262
On Going	97
Draft	67

Length

Max length	12
Median length	12
Mean length	8.797235023
Min length	2

Characters and Unicode

Total characters	13363
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	On Going
2nd row	On Going
3rd row	WO
4th row	WO
5th row	WO

Value	Count	Frequency (%)
Close Budget	788	49.8%
WO	290	18.3%
Close WO	262	16.6%
On Going	97	6.1%
Draft	67	4.2%
Canceled	15	0.9%
(Missing)	62	3.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
close	1050	39.4%
budget	788	29.6%
wo	552	20.7%
on	97	3.6%
going	97	3.6%
draft	67	2.5%
canceled	15	0.6%

Most occurring characters

Value	Count	Frequency (%)
e	1868	14.0%
	1147	8.6%
o	1147	8.6%
C	1065	8.0%
l	1065	8.0%
s	1050	7.9%
g	885	6.6%
t	855	6.4%
d	803	6.0%
B	788	5.9%
Other values (11)	2690	20.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8998	67.3%
Uppercase Letter	3218	24.1%
Space Separator	1147	8.6%

Most frequent character per category

Value	Count	Frequency (%)
e	1868	20.8%
o	1147	12.7%
l	1065	11.8%
s	1050	11.7%
g	885	9.8%
t	855	9.5%
d	803	8.9%
u	788	8.8%
n	209	2.3%
i	97	1.1%
Other values (4)	231	2.6%

Value	Count	Frequency (%)
C	1065	33.1%
B	788	24.5%
O	649	20.2%
W	552	17.2%
G	97	3.0%
D	67	2.1%

Value	Count	Frequency (%)
	1147	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12216	91.4%
Common	1147	8.6%

Most frequent character per script

Value	Count	Frequency (%)
e	1868	15.3%
o	1147	9.4%
C	1065	8.7%
l	1065	8.7%
s	1050	8.6%
g	885	7.2%
t	855	7.0%
d	803	6.6%
B	788	6.5%
u	788	6.5%
Other values (10)	1902	15.6%

Value	Count	Frequency (%)
	1147	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13363	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	1868	14.0%
	1147	8.6%
o	1147	8.6%
C	1065	8.0%
l	1065	8.0%
s	1050	7.9%
g	885	6.6%
t	855	6.4%
d	803	6.0%
B	788	5.9%
Other values (11)	2690	20.1%

Tgl Mulai
Categorical

HIGH CARDINALITY

Distinct	271
Distinct (%)	17.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 KiB

2020-10-22	17
2020-02-24	17
2020-04-16	16
2020-11-24	16
2020-02-03	15
Other values (266)	1500

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	15810
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	40 ?
Unique (%)	2.5%

Sample

1st row	2020-12-16
2nd row	2020-12-16
3rd row	2020-12-16
4th row	2020-12-16
5th row	2020-12-16

Value	Count	Frequency (%)
2020-10-22	17	1.1%
2020-02-24	17	1.1%
2020-04-16	16	1.0%
2020-11-24	16	1.0%
2020-02-03	15	0.9%
2020-06-08	15	0.9%
2020-10-19	15	0.9%
2020-02-10	15	0.9%
2020-02-06	14	0.9%
2020-09-07	14	0.9%
Other values (261)	1427	90.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-10-22	17	1.1%
2020-02-24	17	1.1%
2020-04-16	16	1.0%
2020-11-24	16	1.0%
2020-02-03	15	0.9%
2020-06-08	15	0.9%
2020-10-19	15	0.9%
2020-02-10	15	0.9%
2020-02-06	14	0.9%
2020-09-07	14	0.9%
Other values (261)	1427	90.3%

Most occurring characters

Value	Count	Frequency (%)
0	5130	32.4%
2	4064	25.7%
-	3162	20.0%
1	1429	9.0%
6	325	2.1%
9	305	1.9%
3	303	1.9%
7	293	1.9%
8	282	1.8%
4	259	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12648	80.0%
Dash Punctuation	3162	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	5130	40.6%
2	4064	32.1%
1	1429	11.3%
6	325	2.6%
9	305	2.4%
3	303	2.4%
7	293	2.3%
8	282	2.2%
4	259	2.0%
5	258	2.0%

Value	Count	Frequency (%)
-	3162	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15810	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	5130	32.4%
2	4064	25.7%
-	3162	20.0%
1	1429	9.0%
6	325	2.1%
9	305	1.9%
3	303	1.9%
7	293	1.9%
8	282	1.8%
4	259	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15810	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5130	32.4%
2	4064	25.7%
-	3162	20.0%
1	1429	9.0%
6	325	2.1%
9	305	1.9%
3	303	1.9%
7	293	1.9%
8	282	1.8%
4	259	1.6%

Tgl Selesai
Categorical

HIGH CARDINALITY

Distinct	310
Distinct (%)	19.6%
Missing	0
Missing (%)	0.0%
Memory size	12.5 KiB

2020-10-23	20
2020-09-18	18
2020-06-25	17
2020-05-15	15
2020-10-27	15
Other values (305)	1496

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	15810
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	71 ?
Unique (%)	4.5%

Sample

1st row	2020-12-17
2nd row	2020-12-18
3rd row	2021-01-16
4th row	2021-03-16
5th row	2021-03-03

Value	Count	Frequency (%)
2020-10-23	20	1.3%
2020-09-18	18	1.1%
2020-06-25	17	1.1%
2020-05-15	15	0.9%
2020-10-27	15	0.9%
2020-06-26	15	0.9%
2020-02-07	15	0.9%
2020-06-19	14	0.9%
2020-03-06	14	0.9%
2020-09-24	14	0.9%
Other values (300)	1424	90.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-10-23	20	1.3%
2020-09-18	18	1.1%
2020-06-25	17	1.1%
2020-05-15	15	0.9%
2020-10-27	15	0.9%
2020-06-26	15	0.9%
2020-02-07	15	0.9%
2020-06-19	14	0.9%
2020-03-06	14	0.9%
2020-09-24	14	0.9%
Other values (300)	1424	90.1%

Most occurring characters

Value	Count	Frequency (%)
0	5077	32.1%
2	4045	25.6%
-	3162	20.0%
1	1388	8.8%
6	363	2.3%
3	352	2.2%
9	333	2.1%
7	301	1.9%
8	289	1.8%
4	258	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12648	80.0%
Dash Punctuation	3162	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	5077	40.1%
2	4045	32.0%
1	1388	11.0%
6	363	2.9%
3	352	2.8%
9	333	2.6%
7	301	2.4%
8	289	2.3%
4	258	2.0%
5	242	1.9%

Value	Count	Frequency (%)
-	3162	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15810	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	5077	32.1%
2	4045	25.6%
-	3162	20.0%
1	1388	8.8%
6	363	2.3%
3	352	2.2%
9	333	2.1%
7	301	1.9%
8	289	1.8%
4	258	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15810	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5077	32.1%
2	4045	25.6%
-	3162	20.0%
1	1388	8.8%
6	363	2.3%
3	352	2.2%
9	333	2.1%
7	301	1.9%
8	289	1.8%
4	258	1.6%

JML Peserta
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	167
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32.16318786
Minimum	0
Maximum	1576
Zeros	278
Zeros (%)	17.6%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	9
Q3	29
95-th percentile	129
Maximum	1576
Range	1576
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	94.04429302
Coefficient of variation (CV)	2.923973004
Kurtosis	116.8836937
Mean	32.16318786
Median Absolute Deviation (MAD)	9
Skewness	9.414685922
Sum	50850
Variance	8844.329049
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	278	17.6%
1	191	12.1%
2	102	6.5%
3	68	4.3%
5	52	3.3%
4	41	2.6%
15	38	2.4%
26	33	2.1%
25	33	2.1%
20	33	2.1%
Other values (157)	712	45.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	278	17.6%
1	191	12.1%
2	102	6.5%
3	68	4.3%
4	41	2.6%

Value	Count	Frequency (%)
1576	1	0.1%
1432	1	0.1%
1060	1	0.1%
1050	1	0.1%
1046	1	0.1%

JML Confirmed
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	107
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	18.94054396
Minimum	0
Maximum	1209
Zeros	613
Zeros (%)	38.8%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	21
95-th percentile	62
Maximum	1209
Range	1209
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	64.47525485
Coefficient of variation (CV)	3.404086756
Kurtosis	151.1675974
Mean	18.94054396
Median Absolute Deviation (MAD)	3
Skewness	10.99071376
Sum	29945
Variance	4157.058488
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	613	38.8%
1	109	6.9%
2	59	3.7%
5	43	2.7%
20	33	2.1%
3	32	2.0%
4	30	1.9%
24	30	1.9%
15	29	1.8%
22	25	1.6%
Other values (97)	578	36.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	613	38.8%
1	109	6.9%
2	59	3.7%
3	32	2.0%
4	30	1.9%

Value	Count	Frequency (%)
1209	1	0.1%
983	1	0.1%
784	1	0.1%
734	1	0.1%
726	1	0.1%

JML Peserta Hadir
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	141
Distinct (%)	8.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23.47691335
Minimum	0
Maximum	790
Zeros	520
Zeros (%)	32.9%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	5
Q3	25
95-th percentile	89
Maximum	790
Range	790
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	61.81022614
Coefficient of variation (CV)	2.632808889
Kurtosis	79.48242574
Mean	23.47691335
Median Absolute Deviation (MAD)	5
Skewness	7.822408809
Sum	37117
Variance	3820.504055
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	520	32.9%
1	121	7.7%
2	62	3.9%
5	38	2.4%
3	34	2.2%
24	32	2.0%
15	31	2.0%
20	31	2.0%
25	27	1.7%
10	27	1.7%
Other values (131)	658	41.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	520	32.9%
1	121	7.7%
2	62	3.9%
3	34	2.2%
4	25	1.6%

Value	Count	Frequency (%)
790	1	0.1%
778	1	0.1%
767	1	0.1%
723	1	0.1%
708	1	0.1%

JML UBPP Inst
Real number (ℝ_≥0)

ZEROS

Distinct	81
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.270714738
Minimum	0
Maximum	336
Zeros	748
Zeros (%)	47.3%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	13
95-th percentile	38
Maximum	336
Range	336
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	20.69889825
Coefficient of variation (CV)	2.23271871
Kurtosis	96.03708196
Mean	9.270714738
Median Absolute Deviation (MAD)	1
Skewness	7.722895144
Sum	14657
Variance	428.4443887
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	748	47.3%
1	92	5.8%
2	48	3.0%
5	44	2.8%
3	40	2.5%
4	36	2.3%
10	35	2.2%
9	29	1.8%
14	27	1.7%
24	27	1.7%
Other values (71)	455	28.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	748	47.3%
1	92	5.8%
2	48	3.0%
3	40	2.5%
4	36	2.3%

Value	Count	Frequency (%)
336	1	0.1%
330	1	0.1%
253	1	0.1%
192	1	0.1%
179	1	0.1%

JML UBPP Delivery
Real number (ℝ_≥0)

ZEROS

Distinct	104
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.88614801
Minimum	0
Maximum	343
Zeros	645
Zeros (%)	40.8%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	16
95-th percentile	47
Maximum	343
Range	343
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	28.01475094
Coefficient of variation (CV)	2.174020578
Kurtosis	45.42879977
Mean	12.88614801
Median Absolute Deviation (MAD)	2
Skewness	5.735169324
Sum	20373
Variance	784.82627
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	645	40.8%
1	106	6.7%
2	54	3.4%
5	50	3.2%
6	30	1.9%
10	30	1.9%
11	29	1.8%
9	28	1.8%
3	27	1.7%
15	27	1.7%
Other values (94)	555	35.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	645	40.8%
1	106	6.7%
2	54	3.4%
3	27	1.7%
4	25	1.6%

Value	Count	Frequency (%)
343	1	0.1%
337	1	0.1%
270	1	0.1%
254	1	0.1%
246	1	0.1%

UBPP Inst
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	572
Distinct (%)	37.2%
Missing	42
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%

Mean	41.62499675
Minimum	0
Maximum	100
Zeros	761
Zeros (%)	48.1%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	61.67
Q3	82.915
95-th percentile	92.103
Maximum	100
Range	100
Interquartile range (IQR)	82.915

Descriptive statistics

Standard deviation	41.65013516
Coefficient of variation (CV)	1.000603926
Kurtosis	-1.930468971
Mean	41.62499675
Median Absolute Deviation (MAD)	38.33
Skewness	0.03918076167
Sum	64060.87
Variance	1734.733759
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	761	48.1%
80	16	1.0%
90	12	0.8%
100	12	0.8%
68.57	7	0.4%
77.14	7	0.4%
91.25	6	0.4%
85.71	6	0.4%
95	6	0.4%
70	5	0.3%
Other values (562)	701	44.3%
(Missing)	42	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	761	48.1%
22.86	1	0.1%
30	1	0.1%
35	1	0.1%
50.86	1	0.1%

Value	Count	Frequency (%)
100	12	0.8%
99.17	1	0.1%
98.33	2	0.1%
97.5	2	0.1%
97.06	1	0.1%

UBPP Akom
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	301
Distinct (%)	19.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	27.29641999
Minimum	0
Maximum	100
Zeros	1030
Zeros (%)	65.1%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	71.98
95-th percentile	92.5
Maximum	100
Range	100
Interquartile range (IQR)	71.98

Descriptive statistics

Standard deviation	38.44866457
Coefficient of variation (CV)	1.408560705
Kurtosis	-1.256530441
Mean	27.29641999
Median Absolute Deviation (MAD)	0
Skewness	0.77769379
Sum	43155.64
Variance	1478.299807
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1030	65.1%
100	48	3.0%
90	32	2.0%
80	23	1.5%
70	21	1.3%
75	13	0.8%
50	13	0.8%
85	10	0.6%
89	5	0.3%
72	5	0.3%
Other values (291)	381	24.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1030	65.1%
4.17	3	0.2%
7.5	1	0.1%
10	2	0.1%
30	3	0.2%

Value	Count	Frequency (%)
100	48	3.0%
99.23	1	0.1%
98.67	1	0.1%
98.18	1	0.1%
97.9	1	0.1%

UBPP Sarana
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	374
Distinct (%)	23.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	51.22409235
Minimum	0
Maximum	100
Zeros	646
Zeros (%)	40.9%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	80
Q3	89.09
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	89.09

Descriptive statistics

Standard deviation	43.12527161
Coefficient of variation (CV)	0.8418943047
Kurtosis	-1.836799094
Mean	51.22409235
Median Absolute Deviation (MAD)	14.87
Skewness	-0.3064904469
Sum	80985.29
Variance	1859.789051
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	646	40.9%
100	84	5.3%
90	80	5.1%
80	46	2.9%
85	35	2.2%
70	17	1.1%
95	17	1.1%
86.67	16	1.0%
87.5	12	0.8%
83.33	10	0.6%
Other values (364)	618	39.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	646	40.9%
30	4	0.3%
50	3	0.2%
54.29	1	0.1%
56	1	0.1%

Value	Count	Frequency (%)
100	84	5.3%
99.33	1	0.1%
99.23	1	0.1%
98.75	1	0.1%
98.18	1	0.1%

UBPP Laborat
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 KiB

0	1581

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1581
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	1581	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1581	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1581	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1581	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	1581	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1581	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1581	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1581	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1581	100.0%

UBPP Penyelenggaraan
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	530
Distinct (%)	33.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	52.38854522
Minimum	0
Maximum	100
Zeros	645
Zeros (%)	40.8%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	83.33
Q3	90
95-th percentile	96.67
Maximum	100
Range	100
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	43.81990447
Coefficient of variation (CV)	0.836440567
Kurtosis	-1.845590007
Mean	52.38854522
Median Absolute Deviation (MAD)	11.2
Skewness	-0.3357931155
Sum	82826.29
Variance	1920.184028
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	645	40.8%
100	56	3.5%
90	32	2.0%
92	19	1.2%
88	17	1.1%
94	14	0.9%
86	13	0.8%
82	11	0.7%
98	11	0.7%
80	11	0.7%
Other values (520)	752	47.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	645	40.8%
32	1	0.1%
34	1	0.1%
40	1	0.1%
52	1	0.1%

Value	Count	Frequency (%)
100	56	3.5%
99.78	1	0.1%
99.33	1	0.1%
99.23	1	0.1%
99	1	0.1%

UBPP Kafetaria
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	294
Distinct (%)	18.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	27.16835547
Minimum	0
Maximum	100
Zeros	1030
Zeros (%)	65.1%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	70.71
95-th percentile	92.5
Maximum	100
Range	100
Interquartile range (IQR)	70.71

Descriptive statistics

Standard deviation	38.38178732
Coefficient of variation (CV)	1.412738705
Kurtosis	-1.233079318
Mean	27.16835547
Median Absolute Deviation (MAD)	0
Skewness	0.7889700381
Sum	42953.17
Variance	1473.161598
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1030	65.1%
100	47	3.0%
90	35	2.2%
80	24	1.5%
70	15	0.9%
50	12	0.8%
85	11	0.7%
75	9	0.6%
73.33	7	0.4%
95	6	0.4%
Other values (284)	385	24.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1030	65.1%
4.17	3	0.2%
7.5	1	0.1%
10	3	0.2%
20	1	0.1%

Value	Count	Frequency (%)
100	47	3.0%
99.23	1	0.1%
99.09	1	0.1%
98	1	0.1%
97.69	1	0.1%

UBPP Materi
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	492
Distinct (%)	31.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	52.5327957
Minimum	0
Maximum	100
Zeros	646
Zeros (%)	40.9%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	83.63
Q3	90.1
95-th percentile	96.88
Maximum	100
Range	100
Interquartile range (IQR)	90.1

Descriptive statistics

Standard deviation	43.97953336
Coefficient of variation (CV)	0.8371824262
Kurtosis	-1.848114651
Mean	52.5327957
Median Absolute Deviation (MAD)	11.14
Skewness	-0.3353367585
Sum	83054.35
Variance	1934.199354
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	646	40.9%
100	64	4.0%
90	34	2.2%
95	22	1.4%
92.5	17	1.1%
87.5	16	1.0%
85	14	0.9%
80	13	0.8%
82.5	11	0.7%
91.25	10	0.6%
Other values (482)	734	46.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	646	40.9%
32.5	1	0.1%
35	1	0.1%
40	1	0.1%
47.5	1	0.1%

Value	Count	Frequency (%)
100	64	4.0%
99.78	1	0.1%
99.23	1	0.1%
98.75	1	0.1%
98.64	1	0.1%

Net Promotor Score
Real number (ℝ)

ZEROS

Distinct	248
Distinct (%)	15.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	39.36956357
Minimum	-100
Maximum	100
Zeros	693
Zeros (%)	43.8%
Memory size	12.5 KiB

Quantile statistics

Minimum	-100
5-th percentile	0
Q1	0
median	42.86
Q3	75
95-th percentile	100
Maximum	100
Range	200
Interquartile range (IQR)	75

Descriptive statistics

Standard deviation	40.70938563
Coefficient of variation (CV)	1.034031926
Kurtosis	-1.039682548
Mean	39.36956357
Median Absolute Deviation (MAD)	42.86
Skewness	0.02473231594
Sum	62243.28
Variance	1657.254079
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	693	43.8%
100	205	13.0%
66.67	46	2.9%
50	44	2.8%
75	24	1.5%
80	22	1.4%
40	15	0.9%
60	14	0.9%
83.33	11	0.7%
90	10	0.6%
Other values (238)	497	31.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-100	7	0.4%
-84.48	1	0.1%
-50	2	0.1%
-33.33	2	0.1%
-25	2	0.1%

Value	Count	Frequency (%)
100	205	13.0%
98.44	1	0.1%
97.18	1	0.1%
95.83	1	0.1%
94.87	1	0.1%

Customer Satisfaction
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	580
Distinct (%)	36.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	50.62841872
Minimum	0
Maximum	100
Zeros	646
Zeros (%)	40.9%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	77.78
Q3	88.33
95-th percentile	96.67
Maximum	100
Range	100
Interquartile range (IQR)	88.33

Descriptive statistics

Standard deviation	42.6850379
Coefficient of variation (CV)	0.8431043073
Kurtosis	-1.833236423
Mean	50.62841872
Median Absolute Deviation (MAD)	16.03
Skewness	-0.2984664048
Sum	80043.53
Variance	1822.01246
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	646	40.9%
100	59	3.7%
90	25	1.6%
80	17	1.1%
83.33	14	0.9%
88	13	0.8%
93.33	11	0.7%
86	10	0.6%
86.67	9	0.6%
92	9	0.6%
Other values (570)	768	48.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	646	40.9%
26.67	1	0.1%
30	1	0.1%
34	1	0.1%
36.67	1	0.1%

Value	Count	Frequency (%)
100	59	3.7%
99.63	1	0.1%
99.23	1	0.1%
98.89	1	0.1%
98.36	1	0.1%

First Response & Average Handling
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	351
Distinct (%)	22.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	52.67101202
Minimum	0
Maximum	100
Zeros	646
Zeros (%)	40.9%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	83.75
Q3	90
95-th percentile	99.78
Maximum	100
Range	100
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	44.11103567
Coefficient of variation (CV)	0.8374822123
Kurtosis	-1.846399763
Mean	52.67101202
Median Absolute Deviation (MAD)	11.81
Skewness	-0.3326351765
Sum	83272.87
Variance	1945.783468
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	646	40.9%
90	93	5.9%
100	79	5.0%
80	34	2.2%
85	21	1.3%
95	20	1.3%
93.33	14	0.9%
86.67	13	0.8%
92	13	0.8%
83.33	12	0.8%
Other values (341)	636	40.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	646	40.9%
40	1	0.1%
50	5	0.3%
60	1	0.1%
62	1	0.1%

Value	Count	Frequency (%)
100	79	5.0%
99.78	1	0.1%
99.23	1	0.1%
99.09	1	0.1%
99	1	0.1%

Customer Effort Score
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	514
Distinct (%)	32.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	52.27979127
Minimum	0
Maximum	100
Zeros	646
Zeros (%)	40.9%
Memory size	12.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	83.25
Q3	90
95-th percentile	96.25
Maximum	100
Range	100
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	43.76901974
Coefficient of variation (CV)	0.8372072397
Kurtosis	-1.847532512
Mean	52.27979127
Median Absolute Deviation (MAD)	10.75
Skewness	-0.3349355548
Sum	82654.35
Variance	1915.727089
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	646	40.9%
100	57	3.6%
90	32	2.0%
92	25	1.6%
88	22	1.4%
86	18	1.1%
80	15	0.9%
94	15	0.9%
84	14	0.9%
91	9	0.6%
Other values (504)	728	46.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	646	40.9%
32	1	0.1%
38	1	0.1%
40	1	0.1%
48	1	0.1%

Value	Count	Frequency (%)
100	57	3.6%
99.73	1	0.1%
99.33	1	0.1%
99.23	1	0.1%
99	1	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Nama Pelatihan	Objid Pelatihan	Category	Tipe	Lokasi Pelatihan	Provider	Academy Event	Location	Provider Category	Event Type	Status	Tgl Mulai	Tgl Selesai	JML Peserta	JML Confirmed	JML Peserta Hadir	JML UBPP Inst	JML UBPP Delivery	UBPP Inst	UBPP Sarana	UBPP Penyelenggaraan	UBPP Materi	Net Promotor Score	Customer Satisfaction	First Response & Average Handling	Customer Effort Score
0	Social Media Ads & Analytic	80114181	LAT	NaN	Bandung	Learning Area 2 Jakarta	CONSUMER	Online (Lokasi Masing-Masing)	Internal	Internal	On Going	2020-12-16	2020-12-17	28	9	0	0	0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0
1	CISM	80114269	LAT	Virtual Classroom	Bandung	Learning Area 3 / LO	NITS	Online (Lokasi Masing-Masing)	NaN	Public	On Going	2020-12-16	2020-12-18	4	0	0	0	0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2	Programmer Development Course Amoeba	80114271	LAT	E-learning	Bandung	Learning Area 7 Makassar	DSP	Online (Lokasi Masing-Masing)	Internal	Internal	WO	2020-12-16	2021-01-16	1	0	0	0	0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0
3	Business Analytics Amoeba	80114280	LAT	Video Learning	Bandung	Learning Area 7 Makassar	DSP	Online (Lokasi Masing-Masing)	Internal	Internal	WO	2020-12-16	2021-03-16	1	0	0	0	0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0
4	Online UX Design Course Amoeba	80114281	LAT	E-learning	Bandung	Learning Area 7 Makassar	DSP	Online (Lokasi Masing-Masing)	Internal	Internal	WO	2020-12-16	2021-03-03	1	0	0	0	0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0
5	Aspek Hukum dalam Pengelolaan Korporasi	80114255	LAT	NaN	Bandung	Learning Area 3 / LO	BUSINNESS ENABLER	Online (Lokasi Masing-Masing)	NaN	Public	On Going	2020-12-15	2020-12-18	2	0	0	0	0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0
6	Proposal Business AM Telkom Infra	80114266	LAT	Virtual Classroom	Bandung	Learning Area 4 Semarang	WS & INTERNATIONAL	Online (Lokasi Masing-Masing)	Internal	Internal	On Going	2020-12-15	2020-12-16	6	6	6	1	0	74.29	0.0	0.0	0.0	0.0	0.0	0.0	0.0
7	Perform Using OKR Batch 2	80114270	LAT	Virtual Classroom	Bandung	Learning Area 7 Makassar	DSP	Online (Lokasi Masing-Masing)	Internal	Internal	On Going	2020-12-15	2020-12-15	16	11	11	5	5	74.86	90.0	86.0	87.5	80.0	86.0	88.0	86.8
8	Klarifikasi HCD Plan 2021	90004548	NON LAT	Regular Meeting / Discussion	Bandung	Learning Area 3 / LO Bandung	CONSUMER	Online (Lokasi Masing-Masing)	Internal	Internal	WO	2020-12-15	2020-12-16	0	0	0	0	0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0
9	Rapat Pembahasan HCD Plan DBS 2021	90004562	NON LAT	Regular Meeting / Discussion	Jakarta	Learning Area 3 / LO	ENTERPRISE	LA 2	External	Internal	WO	2020-12-15	2020-12-15	3	0	0	0	0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0

Last rows

	Nama Pelatihan	Objid Pelatihan	Category	Tipe	Lokasi Pelatihan	Provider	Academy Event	Location	Provider Category	Event Type	Status	Tgl Mulai	Tgl Selesai	JML Peserta
1571	Network Management System (NMS) Access Alcate	90003686	NON LAT	Pengembangan Materi	Bandung	Learning Area 3 / LO Bandung	NaN	R Rapat Consumer Academy	Internal	Internal	WO	2020-01-02	2020-01-03	3
1572	Network Management System (NMS) Access Alcate	90003688	NON LAT	Pengembangan Materi	Bandung	Learning Area 3 / LO Bandung	NaN	R Rapat Consumer Academy	Internal	Internal	Draft	2020-01-02	2020-01-03	0
1573	Bangmat Wapang for Supervisor	90003692	NON LAT	Pengembangan Materi	Bandung	Learning Area 3 / LO Bandung	NaN	LA 3	Internal	Internal	Draft	2020-01-02	2020-01-03	0
1574	Bangmat Waspang for Supervisor	90003694	NON LAT	Pengembangan Materi	Bandung	Learning Area 3 / LO Bandung	NaN	LA-3	Internal	Internal	Draft	2020-01-02	2020-01-03	0
1575	Bangmat Waspang for Supervisor	90003696	NON LAT	Pengembangan Materi	Bandung	Learning Area 3 / LO Bandung	NaN	LA-3	Internal	Internal	Draft	2020-01-02	2020-01-03	0
1576	Bangmat Waspang for Supervisor	90003698	NON LAT	Pengembangan Materi	Bandung	Learning Area 3 / LO Bandung	NaN	LA-3	Internal	Internal	Draft	2020-01-02	2020-01-03	0
1577	Bangmat Waspang for Supervisor	90003700	NON LAT	Pengembangan Materi	Bandung	Learning Area 3 / LO Bandung	NaN	LA-3	Internal	Internal	WO	2020-01-02	2020-01-03	2
1578	event tahun 2020	90003690	NON LAT	Sharing Session / Bedah Buku	Bandung	Learning Area 3 / LO Bandung	NaN	LA 3	Internal	Internal	Draft	2020-01-01	2020-01-06	0
1579	CX Professional Forrester International	90004178	NON LAT	NaN	NaN	NaN	CONSUMER	NaN	NaN	Internal	Draft	2020-01-01	2020-01-01	1
1580	SITAC & Litigasi	80113475	LAT	NaN	NaN	NaN	NaN	Online (Lokasi Masing-Masing)	NaN	NaN	NaN	2020-01-01	2020-01-02	0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters